lessthunk

Unfortunately CH gave in to the US -- look e.g. at the banks, or at the EU, especially DE blackmailing tiny CH to give up privacy.

Iceland is a country worth investigating when it comes to hosting.

R and SQL are two completely different beasts;

you can use one in conjunction with the other;

R is a general programming language with a huge library of mostly statistical analysis routines.

SQL is a way to get data in/out of a database

You might want to use SQL for trivial analyses, and anything more, maybe use R. But you can use SQL from R to get the data.

get users addicted; when it's too painful you buy a bigger more expensive phone.

How does it compare with e.g. slack, which appears popular these days?

Data science is a stupid buzzword. The ideal candidate knows enough about IT to massage data, the more the knows about the domain to investigate the better, and for sure some statistics. Most of all always do sanity checks .. does it make sense? Can it be? Is the data correct?

It is an art. Like writing awesome code, etc. practice, practice, and working with experienced people is key.

The smarter players measure and target accordingly. The rise of RTB and 3rd party companies or your own JS solutions let you cherry pick what you want, or you simply bid much lower (if at all) on traffic you consider not valuable.

This is mostly a problem for unsophisticated players and exaggerated hype originating from players that support tracking view ability, etc.

Looks cute.

why use MSFT in the first place? Really, it is 2015.

if it's really him, than we should support him

Do we deserve these stupid politicians? What happened to think for yourself?

or you learn about data structures and algorithms and try to need less :-); Randomized algorithms for example are intriguing.

R, python or ruby would be a start C would be a dream

spend the time to find folks that know R or similar and have written extensions. You want doers, not academics.

the US economy is not doing well; As long as interest rates remain so low, ever more money will plow into VCs/startup investing to get better returns.

Can you make a free version to convince the world?

As others have said, key is to empower us todo more in less time. Case studies, references, etc.

Great to get specialist knowledge/understanding into the mainstream.

As a statistican doing machine learning I think there is much more to it; You can do statistics with models. There is progress in statistics, like in all other sciences.

A catchy title, not explaining well what is really going on.

the pendulum will eventually swing back for more privacy

if it's crucial for the company, it should not be on a public internet.

Very difficult; I would look at open source projects somehow related to what you need. There are developers that are 10-times as productive as others, or 100-times. These you need to get motivated; Sharing part of your company is tough if they do not hang around for the long term, so if you give them options, have it mature over a few years.

Go for cheap, newbies hardly ever pays off. Imho domain knowledge matters, too.

Verizon will sink AOL.

it's a qn of when, not if.

agile per se is good -- making it a religious is ususally bad;

I saw many companies using scrum and often I felt like this is a process for slower moving teams, instead of the opposite;

Great software is being written by great individuals that move it forward, pretty indecent of whatever process a company tries to use. To me a process must not get in the way or productivity and creativity.

Great article, by a very experienced Ruby hacker. Wish he were as active in the community again, as he once was. Rumor says he is also looking into elixir these days :-).

it's popular to bash Lenovo, but isn't all of Windows crappy like that?

seen too many teams that great companies get acquired and the founders disappear slowly, as upset with company politics .. very often a great product will die slowly.

The perfect data scientist -- imho is great at massaging data and has a ton of real life experience with real data; So somebody on the interface of statistics and computer science is best.

Computer scientists mostly don't know about sampling and make easy problems hard. Statisticians mostly fail at simply getting the data in a format they need.

.. reinstall any computer you get from scratch; Firmware Bios spying is of course much harder to get rid from.

Why Lisp? Because the developers that know and love Lisp are normally highly above average and get things done. For sure, there is a much smaller pool to chose from, but once you are far from what is currently hip, you get developers that actually care.

Facebook has millions of real people on it -- for sure also bots, while twitter has a much smaller hardcore fraction of people, next to too many bots. Advertising performs better on FB.

I don't think that Chinese would think of racist here.